Introduction: Digital technology has transformed social interactions, human development,
employment, production, and productivity, empowering people and changing medicine as
practised. The widespread use ofsocial media among Jamaicans hasraised significant concerns
about its potential impact on mental health. While social media platforms provide opportunities
for connection and self-expression, excessive or frequent usage may lead to adverse
psychological outcomes such as anxiety, depression, and low self-esteem.
Objectives: This study examines the prevalence of addiction to social media usage in Jamaica
and sub-components of the digital addiction scale of social media usage among the Jamaican
population and evaluates the relationship between digital addiction and different mental health
issues such as anxiety, depression, and self-esteem.
Methods: This study employed an explanatory cross-sectional survey research design. The
population for this study consists of resident Jamaicans who are at least 18 years old, Jamaicans
who live in the country at the time of the study, and children under 18. According to the 2019
population projections from the StatisticalInstitute ofJamaica (STATIN),Jamaica has 2,024,687
people 18 years and older, including 1,032,369women and 992,318men. The sample size in this
study is calculated using this number, a 95% confidence level, a 5% margin of error, and the
gender distribution of the population. Based on the population size and the data previously
provided, the sample size is 385 Jamaicans aged 18 years and older. The response rate was
78.96% (n= 304).
Findings: Fifty-seven per cent of the sampled respondents were classified as at the normal level
of internet addiction, 34.2% were mildly addicted, and 7.5% were moderately addicted to the
internet. Additionally, 1.4% of respondents were severely dependent on the Internet. One in three respondents were at least moderately addicted to digital technology (internet and online activities
or digital tools and digital media), and two in three were at most weakly addicted. Additionally,
4.6% of respondents were strongly to extremely addicted to digital technology, and 1.8% were
extremely addicted. Across-tabulation between the digital addiction scale (DAS) and the Patient
Health Questionnaire (depression scale) of the respondents. A significant statistical association
exists between the two previously mentioned variables(χ
2
(df = 16) = 107.476, p-value < 0.001),
with the association being a moderate one (contingency coefficient = 0.532). Respondents who
were severely depressed were most likely to be very highly digitally addicted (25.0%) compared
to those who were moderately depressed (2.7%), mildly depressed (1.2%) and those who were
minimally depressed (0.7%).
Conclusion: This study concludesthat digital addiction significantly impacts mental health and
productivity in Jamaica, with individuals facing low self-esteem, high anxiety, and severe
depression at greater risk for severe digital dependence. Gender differences and employment
status also influence addiction patterns, with part-time workers and students experiencing
reduced productivity and academic performance. These findings highlight the need for targeted
mental health interventions, digital literacy programs, and policy reforms to foster healthier
technology use.